Evaluation

Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives
Recommender systems research and practice are fast-developing topics with growing adoption in a wide variety of information access …
Christine Bauer, Eva Zangerle, Alan Said
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Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives
Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023)
Evaluation is important when developing and deploying recommender systems. The PERSPECTIVES workshop sheds light on the different, …
Alan Said, Eva Zangerle, Christine Bauer
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Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022)
Evaluation of recommender systems is a central activity when developing recommender systems, both in industry and academia. The second …
Eva Zangerle, Christine Bauer, Alan Said
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Improving accountability in recommender systems research through reproducibility
Reproducibility is a key requirement for scientific progress. It allows the reproduction of the works of others, and, as a consequence, …
Alejandro Bellogín, Alan Said
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Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES)
Evaluation is a cornerstone in the process of developing and deploying recommender systems. The PERSPECTIVES workshop brought together …
Eva Zangerle, Christine Bauer, Alan Said
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Coherence and inconsistencies in rating behavior: estimating the magic barrier type: publication profile: false of recommender systems
Recommender Systems have to deal with a wide variety of users and user types that express their preferences in different ways. This …
Alan Said, A. Bellogín
Jan 1, 2018
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Introduction to the Special Issue on Recommender System Benchmarking
Recommender systems addvalue to vast content resources by matching users with items of interest. In recent years, immense progress has …
Paolo Cremonesi, Alan Said, Domonkos Tikk, Michelle X. Zhou
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Replicable evaluation of recommender systems
Recommender systems research is by and large based on comparisons of recommendation algorithms’ predictive accuracies: the better …
Alan Said, A. Bellogín
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Do recommendations matter? News recommendation in real life
We present a study of how recommendations are received in real life by users across different news domains (traditional online …
Alan Said, A. Bellogín, J. Lin, A. De Vries
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RiVal - A toolkit to foster reproducibility in recommender system evaluation
Currently, it is diffcult to put in context and compare the results from a given evaluation of a recommender system, mainly because too …
Alan Said, A. Bellogín
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